Data Science Tutorials

Learn about Kaggle datasets and notebooks and get a head start on creating your Kaggle profile.

A tutorial to understand what correlation is and why it is important for every aspiring data scientist to know it.

A detailed guide to time series forecasting. Learn to use python and supporting frameworks. Learn about the statistical modelling involved.

The tutorial answers the most frequently asked questions about deep learning and explores various aspects of deep learning with real-life examples.

The data scientist's comprehensive guide to mastering PyCharm

Data cleaning is a very basic building block of data science. Learn the importance of data cleaning and how to use Python and carry out the process.

A brief guide for navigating Google Colab to carry out data science coding and collaborating with other data scientists.

Learn the basic and essential commands for SQL with examples and a workspace notebook to refer to.

This Python Streamlit tutorial is designed for data scientists and machine learning engineers who want to quickly build web apps without extensive web development knowledge.

PyCaret is an end-to-end machine learning and model management tool that exponentially speeds up the experiment cycle and makes you more productive.

Learn what Python pandas .apply is and how to use it for DataFrames. Learn how to iterate over DataFrames using the .apply() function today!

The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.